Embedded DSP-Based Compact Fuzzy System and Its Application for Induction-Motor $V/f$ Speed Control

This paper presents a compact embedded fuzzy system for three-phase induction-motor scalar speed control. The control strategy consists in keeping constant the voltage-frequency ratio of the induction-motor supply source. A fuzzy-control system is built on a digital signal processor, which uses speed error and speed-error variation to change both the fundamental voltage amplitude and frequency of a sinusoidal pulsewidth modulation inverter. An alternative optimized method for embedded fuzzy-system design is also proposed. The controller performance, in relation to reference and load-torque variations, is evaluated by experimental results. A comparative analysis with conventional proportional-integral controller is also achieved.

[1]  C C Lee,et al.  FUZZY LOGIC IN CONTROL SYSTEM FUZZY LOGIC CONTROLLER-PART II , 1990 .

[2]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[3]  A.M. Sharaf,et al.  A high performance induction motor drive system using fuzzy logic controller , 1994, Proceedings of MELECON '94. Mediterranean Electrotechnical Conference.

[4]  Andrzej M. Trzynadlowski,et al.  Control of Induction Motors , 2000 .

[5]  R. Krishnan,et al.  Electric Motor Drives: Modeling, Analysis, and Control , 2001 .

[6]  Edson Bim Fuzzy optimization for rotor constant identification of an indirect FOC induction motor drive , 2001, IEEE Trans. Ind. Electron..

[7]  Witold Pedrycz,et al.  Design of neuro-fuzzy controller on DSP for real-time control of induction motors , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[8]  P. P. Cruz,et al.  Artificial intelligence applications in direct torque control , 2003, The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003..

[9]  Renyuan Tang,et al.  Sensorless-speed control strategy of induction motor based on artificial neural networks , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[10]  N. Islam,et al.  Fuzzy logic enhanced speed control system of a VSI-fed three phase induction motor , 2005, 2005 2nd International Conference on Electrical and Electronics Engineering.

[11]  T.G. Habetler,et al.  A survey of efficiency-estimation methods for in-service induction motors , 2006, IEEE Transactions on Industry Applications.

[12]  Robert X. Gao,et al.  Sensorless speed measurement of induction motor using Hilbert transform and interpolated fast Fourier transform , 2006, IEEE Transactions on Instrumentation and Measurement.

[13]  Tu Li,et al.  Improvement of Direct Torque Control Low-speed Performance by Using Fuzzy Logic Technique , 2006, 2006 International Conference on Mechatronics and Automation.

[14]  Yew-Soon Ong,et al.  A context switchable fuzzy inference chip , 2006, IEEE Transactions on Fuzzy Systems.

[15]  M.N. Uddin,et al.  Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives , 2004, IEEE Transactions on Industry Applications.

[16]  Seul Jung,et al.  Hardware Implementation of a Real-Time Neural Network Controller With a DSP and an FPGA for Nonlinear Systems , 2007, IEEE Transactions on Industrial Electronics.

[17]  Chun-Jung Chen,et al.  Speed Sensorless of an Induction Motor Using Self-tuning Fuzzy Identification , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[18]  B. Karanayil,et al.  Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive , 2007, IEEE Transactions on Industrial Electronics.

[19]  Badrul H. Chowdhury,et al.  Sensorless control of inverter-fed induction motor drives , 2007 .

[20]  Alessandro Goedtel,et al.  Load torque identification in induction motor using neural networks technique , 2007 .

[21]  G. Bhuvaneswari,et al.  Harmonic Mitigation in AC–DC Converters for Vector Controlled Induction Motor Drives , 2007, IEEE Transactions on Energy Conversion.

[22]  M. Nasir Uddin,et al.  A Simplified Self-Tuned Neuro-Fuzzy Controller Based Speed Control of an Induction Motor Drive , 2007, 2007 IEEE Power Engineering Society General Meeting.

[23]  Víctor Blanco,et al.  Design of Embedded DSP-Based Fuzzy Controllers for Autonomous Mobile Robots , 2008, IEEE Transactions on Industrial Electronics.

[24]  Yoichi Hori,et al.  Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power , 2008, IEEE Transactions on Industrial Electronics.

[25]  G. Griva,et al.  Performance comparison of DSP-based current controllers for three-phase active power filters , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[26]  Demba Diallo,et al.  A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive , 2008, IEEE Transactions on Industrial Electronics.

[27]  Seydi Vakkas Üstün,et al.  Optimal tuning of PI coefficients by using fuzzy-genetic for V/f controlled induction motor , 2008, Expert Syst. Appl..

[28]  Ayman A. Al-Lawama,et al.  The Advantages of PID Fuzzy Controllers Over The Conventional Types , 2008 .

[29]  Mikihiko Matsui,et al.  Fuzzy-Logic-Based $V/f$ Control of an Induction Motor for a DC Grid Power-Leveling System Using Flywheel Energy Storage Equipment , 2009, IEEE Transactions on Industrial Electronics.

[30]  Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .